ibm-nasa-geospatial/Landslide4sense

--- size_categories: - 1K<n<10K --- # Landslide4Sense ## Dataset Description This dataset is originally introduced in GitHub repo [Landslide4Sense-2022](https://github.com/iarai/Landslide4Sense-2022). The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include: - **Multispectral data** from [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2): B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12. - **Slope data** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B13. - **Digital elevation model (DEM)** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B14. All bands in the competition dataset are resized to the resolution of ~10m per pixel. The image patches have the size of 128 x 128 pixels and are labeled pixel-wise. ## Dataset Structure The dataset is structured as follows: ``` ├── annotations/ │ ├── test/ | | ├── mask_1.h5 | | ├── ... | | ├── mask_800.h5 │ ├── train/ | | ├── mask_1.h5 | | ├── ... | | ├── mask_3799.h5 │ ├── validation/ | | ├── mask_1.h5 | | ├── ... | | ├── mask_245.h5 ├── images/ ├── test/ | ├── image_1.h5 | ├── ... | ├── image_800.h5 ├── train/ | ├── image_1.h5 | ├── ... | ├── image_3799.h5 ├── validation/ ├── image_1.h5 ├── ... ├── image_245.h5 ``` ## Annotation Description Mapping classes used in the annotation: | Class Number | Class Name | Class Code in the Label | :-: | :-: | :-: | 1 | Non-landslide | 0 | | 2 | Landslide | 1 |